贝叶斯网络是在不确定性环境下有效的知识表示方式和概率推理模型,是一种流行的图形决策化分析工具。
Bayesian Networks is a model that efficiently represents knowledge and probabilistic inference and is a popular graphics decision-making analysis tool.
同时系统采用常识推理模型和基于面向对象的知识部件库专家系统结构。
At the same time, the system USES General knowledge reasoning model and Object-Oriented based knowledge part warehouse Expert system structure.
分析了弧形闸门设计过程,探讨了弧形闸门智能CAD系统的知识模型和推理模型及其数据结构的设计方法。
The design process of arc gate is analyzed, and design methods of knowledge model, inference model and data structure of intelligent CAD system in arc gate are discussed.
本文讨论了在知识工程中用来处理不确定性的各种模糊度量方法,并分析了它们之间的关系。这对于理解以及如何选用一个合适的不精确推理模型是十分有益的。
This paper discusses fuzzy measures adopted to deal with uncertainty and analyzes relationships among classes of fuzzy measures, which very much helps understand and select an inexact reasoning model.
当在知识库中搜索到相应的知识规则后,采用T - s模糊推理模型的求解策略进行求解。
When the knowledge rule is found in the knowledge files, T-S fuzzy inference model is applied to resolution of question.
文章探讨了智能超媒体的相关实现技术,建立了CAI领域的相关知识与推理模型,设计与实现了网上多媒体CAI系统中的智能超媒体功能。
This paper discusses relative realization technology about intelligent hypermedia, builds related knowledge and inferring model of the CAI field, develops and realizes intelligent hyp…
系统在满足对知识表示和推理模型的有效性和实用性要求下,具有构造简单,推理效率高等优点。
The system is satisfactory to the knowledge representation and the effectiveness of reasoning model and practical requirement, its merits are simple to construct and of high reasoning efficiency.
系统在满足对知识表示和推理模型的有效性和实用性要求下,具有构造简单,推理效率高等优点。
The system is satisfactory to the knowledge representation and the effectiveness of reasoning model and practical requirement, its merits are simple to construct and of high reasoning efficiency.
应用推荐